Aquaculture with Artificial Intelligence
Emerging Technologies for Sustainable Industry Development
- 1st Edition - February 1, 2026
- Imprint: Academic Press
- Authors: Baskaralingam Vaseeharan, Ashokkumar Sibiya, Palmy Jesudhasan, Chandrabose Selvaraj
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 7 0 4 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 7 0 5 - 5
Aquaculture with Artificial Intelligence: Emerging Technologies for Sustainable Industry Development will play in aquaculture and aquaculture-adjacent sectors in the coming years.… Read more
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Aquaculture with Artificial Intelligence: Emerging Technologies for Sustainable Industry Development will play in aquaculture and aquaculture-adjacent sectors in the coming years. The aquaculture industry faces various challenges, including environmental concerns, disease management, and resource optimization, and integrating AI into aquaculture practices can improve industry efficiency, sustainability, and overall productivity. This book explores how AI technologies such as machine learning for predictive analytics, computer vision for monitoring aquatic environments, and robotics for automated tasks can streamline various aspects of aquaculture requiring monitoring, management, and decision-making. Aquaculture with Artificial Intelligence: Smart Aquaculture is co-authored by a diverse team of experts bridging disciplines in aquaculture, aquatic immunology, biotechnology, and artificial intelligence. Early chapters provide a thorough introduction to the aquaculture industry to provide critical context for all audiences. Central chapters explore machine learning, bioimaging, drone technology, bioengineering, OMICs technologies, big data, and other AI technologies emerging in aquaculture. Global case studies highlight the practical applications of AI to various aspects of aquaculture operations, including automated feeding, water quality monitoring, disease protection, and precision aquaculture. The book concludes with a look to the future of the industry, research gaps, and opportunities for continued research. This is an essential read for aquaculturists, environmental scientists, data scientists, and roboticists interested in the intersection of aquaculture and AI.
- Provides a comprehensive introduction to aquaculture
- Explores the integration of artificial intelligence (AI) in aquaculture
- Includes case studies of global aquaculture operations and research projects successfully applying AI
- Highlights practical applications for automated feeding, water quality monitoring, disease protection, and precision aquaculture
- Illustrates how AI can optimize resource utilization, reduce waste, and minimize ecological impacts
Researchers and industry scientists in the field of fisheries and aquaculture emerging technologies
1. Aquaculture – An introductory text
2. Technological update in aquaculture
3. Smart aquaculture and digitalizing
4. Introducing artificial intelligence in aquaculture
5. Learning algorithms of artificial intelligence and machine learning for aquaculture
6. Bioimaging and artificial intelligence integration for aquaculture disease control and monitoring
7. Artificial intelligence integrating drone technology for feeding
8. Enhancing aquatic animal health with artificial intelligence-integrated bioengineering
9. Handling Internet of Things in aquaculture
10. OMICS technologies for aquaculture
11. Aquaculture drug design using artificial intelligence and machine learning methods
12. Block chain, cloud, and big data for aquaculture
13. Aquaculture and artificial intelligence integration into industrial aspects
14. Future directions
2. Technological update in aquaculture
3. Smart aquaculture and digitalizing
4. Introducing artificial intelligence in aquaculture
5. Learning algorithms of artificial intelligence and machine learning for aquaculture
6. Bioimaging and artificial intelligence integration for aquaculture disease control and monitoring
7. Artificial intelligence integrating drone technology for feeding
8. Enhancing aquatic animal health with artificial intelligence-integrated bioengineering
9. Handling Internet of Things in aquaculture
10. OMICS technologies for aquaculture
11. Aquaculture drug design using artificial intelligence and machine learning methods
12. Block chain, cloud, and big data for aquaculture
13. Aquaculture and artificial intelligence integration into industrial aspects
14. Future directions
- Edition: 1
- Published: February 1, 2026
- Imprint: Academic Press
- Language: English
BV
Baskaralingam Vaseeharan
Dr. Baskaralingam Vaseeharan is Professor and Department Head of Animal Health and Management at Alagappa University in Karaikudi, India. He obtained his PhD in Zoology at University of Madras and his DSc in Zoology at Periyar University, India. Dr. Vaseeharan’s lab study focuses on aquatic animal health biotechnology, crustacean molecular biology and genomics, molecular biology and immunology, and nanoscience and technology. His current research focuses on improving stress tolerance and disease resistance in aquatic animals to promote high yield in aquaculture and protect aquatic environments from toxic pollutants.
Affiliations and expertise
Alagappa University, Karaikudi, IndiaAS
Ashokkumar Sibiya
Dr. Ashokkumar Sibiya is Research Scholar in the Department of Animal Health and Management at Alagappa University in Karaikudi, India. She obtained her MSc from Manonmaniam Sundaranar University and her PhD from Alagappa University. Her research focuses on aquatic toxicology and immunology of commercial aquaculture species. She specializes in the impact of nanomaterials and pharmaceutical drugs on aquatic organisms, and she combines traditional and innovative techniques, including novel bioinformatic approaches, to evaluate the toxic impacts of emergent contaminants on aquatic organisms.
Affiliations and expertise
Alagappa University, IndiaPJ
Palmy Jesudhasan
Dr. Palmy Jesudhasan is Research Microbiologist at the USDA Agricultural Research Service. He obtained his PhD in Zoology at the University of Madras, India, and has 25 years of experience in animal vaccine production. His area of research focuses on controlling foodborne and poultry pathogens using vaccine, genomic, and proteomic approaches. He has a background in fish pathogenesis and is well experienced applying electron beam technology to control pathogens.
Affiliations and expertise
Research Microbiologist, USDA Agriculture Research Service, USACS
Chandrabose Selvaraj
Dr. Chandrabose Selvaraj is Associate Professor at the Saveetha Institute of Medical and Technical Sciences, India. He obtained his PhD in Bioinformatics from Alagappa University, India, and conducted post-doctoral research at the USA Food and Drug Administration, Central European Institute of Technology, Konkuk University, and Indian Institute of Technology. He has expertise in microbial informatics and his research focuses on computational chemistry, molecular modeling, drug design, and artificial intelligence.
Affiliations and expertise
Associate Professor, Saveetha University, India